Gerard de Haan
- Biomedical Engineering top 0.5%
- Cardiology and Cardiovascular Medicine top 0.5%
- Surgery top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Sander StuijkWenjin WangVincent JeanneAlbertus C. den BrinkerMark van GastelAndreia MoçoWarner ten KateNatallia E. Uzunbajakava
- Topics
- Non-Invasive Vital Sign Monitoring (40 papers)Advanced Vision and Imaging (30 papers)Advanced Image Processing Techniques (26 papers)
- Cited by
- Cardiology and Cardiovascular MedicineBiomedical EngineeringRadiology, Nuclear Medicine and Imaging
- Partner nations
- NetherlandsFinlandUnited States
In The Last Decade
Gerard de Haan
94 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Biomedical Engineering 3.3k
- Cardiology and Cardiovascular Medicine 2.2k
- Surgery 1.3k
- Radiology, Nuclear Medicine and Imaging 766
- Computer Vision and Pattern Recognition 483
Countries citing papers authored by Gerard de Haan
This map shows the geographic impact of Gerard de Haan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gerard de Haan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerard de Haan more than expected).
Fields of papers citing papers by Gerard de Haan
This network shows the impact of papers produced by Gerard de Haan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gerard de Haan. The network helps show where Gerard de Haan may publish in the future.
Co-authorship network of co-authors of Gerard de Haan
This figure shows the co-authorship network connecting the top 25 collaborators of Gerard de Haan. A scholar is included among the top collaborators of Gerard de Haan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gerard de Haan. Gerard de Haan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 18 | |
| 3 | 60 | |
| 4 | 12 | |
| 5 | 7 | |
| 6 | 6 | |
| 7 | 111 | |
| 8 | 29 | |
| 9 | 44 | |
| 10 | 20 | |
| 11 | 84 | |
| 12 | 225 | |
| 13 | 90 | |
| 14 | 45 | |
| 15 | 85 | |
| 16 | 212 | |
| 17 | 18 | |
| 18 | Dialogue support for memory impaired people | 3 |
| 19 | 39 | |
| 20 | A block-based motion estimator capable of handling occlusions | 1 |
About Gerard de Haan
Gerard de Haan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 99 papers that have together received 4.2k indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (40 papers), Advanced Vision and Imaging (30 papers) and Advanced Image Processing Techniques (26 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.2k citations), Biomedical Engineering (3.3k citations) and Radiology, Nuclear Medicine and Imaging (766 citations). Gerard de Haan has collaborated with scholars based in Netherlands, Finland and United States. Frequent co-authors include Sander Stuijk, Wenjin Wang, Vincent Jeanne, Albertus C. den Brinker, Mark van Gastel, Andreia Moço, Warner ten Kate, Natallia E. Uzunbajakava, G.A.M. Krekels and Chris Bartels. Their work appears in journals such as Scientific Reports, IEEE Transactions on Biomedical Engineering and Sensors.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.